We investigate the use of an unsupervised artificial neural network to form a sparse representation of the underlying causes in a data set. By using fixed lateral connections that...
This paper studies the dynamics of agent mediated combinatorial trading at the macroscopic level. The combinatorial marketplace consists of a retailer who wishes to sell bundles o...
Incremental conceptual clustering is an important area of machine learning. It is concerned with summarizing data in a form of concept hierarchies, which will eventually ease the ...
— In this paper we investigate how neural fields can produce an elegant solution for the problem of moving multiple robots in formation. The objective is to acquire a target, av...
In this paper we describe an integrated multilevel learning approach to multiagent coalition formation in a real-time environment. In our domain, agents negotiate to form teams to...